Crafting Tech Stacks to Embrace Traditional and Generative AI in Enterprise Environments In this talk, Bas will present a reference architecture for machine learning systems that incorporates MLOps standards and best practices. This blueprint promises scalability and effectiveness for ML platforms, integrating modern technological concepts such as feature stores, vector stores, and model registries seamlessly into the architecture. With a spotlight on emerging generative AI techniques like retrieval-augmented generation, attendees will gain valuable insights into harnessing the power of modern AI practices. Additionally, Bas will delve into the aspects of MLOps, including feedback loops and model monitoring, ensuring a holistic understanding of how to operationalize and optimize ML systems for sustained success.